| Scene parsing through ade20k dataset B Zhou, H Zhao, X Puig, S Fidler, A Barriuso, A Torralba Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 3424 | 2017 |
| Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books Y Zhu arXiv preprint arXiv:1506.06724, 2015 | 3201 | 2015 |
| Skip-thought vectors R Kiros, Y Zhu, RR Salakhutdinov, R Zemel, R Urtasun, A Torralba, ... Advances in neural information processing systems 28, 2015 | 3176 | 2015 |
| Semantic understanding of scenes through the ade20k dataset B Zhou, H Zhao, X Puig, T Xiao, S Fidler, A Barriuso, A Torralba International Journal of Computer Vision 127, 302-321, 2019 | 1888 | 2019 |
| The role of context for object detection and semantic segmentation in the wild R Mottaghi, X Chen, X Liu, NG Cho, SW Lee, S Fidler, R Urtasun, A Yuille Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 1684 | 2014 |
| Vse++: Improving visual-semantic embeddings with hard negatives F Faghri, DJ Fleet, JR Kiros, S Fidler arXiv preprint arXiv:1707.05612, 2017 | 1411 | 2017 |
| Monocular 3d object detection for autonomous driving X Chen, K Kundu, Z Zhang, H Ma, S Fidler, R Urtasun Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 1161 | 2016 |
| Scaling egocentric vision: The epic-kitchens dataset D Damen, H Doughty, GM Farinella, S Fidler, A Furnari, E Kazakos, ... Proceedings of the European conference on computer vision (ECCV), 720-736, 2018 | 1150 | 2018 |
| 3d object proposals for accurate object class detection X Chen, K Kundu, Y Zhu, AG Berneshawi, H Ma, S Fidler, R Urtasun Advances in neural information processing systems 28, 2015 | 1021 | 2015 |
| Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d J Philion, S Fidler Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 907 | 2020 |
| Magic3d: High-resolution text-to-3d content creation CH Lin, J Gao, L Tang, T Takikawa, X Zeng, X Huang, K Kreis, S Fidler, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 856 | 2023 |
| Movieqa: Understanding stories in movies through question-answering M Tapaswi, Y Zhu, R Stiefelhagen, A Torralba, R Urtasun, S Fidler Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 822 | 2016 |
| Gated-scnn: Gated shape cnns for semantic segmentation T Takikawa, D Acuna, V Jampani, S Fidler Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 791 | 2019 |
| Towards diverse and natural image descriptions via a conditional gan B Dai, S Fidler, R Urtasun, D Lin Proceedings of the IEEE international conference on computer vision, 2970-2979, 2017 | 777 | 2017 |
| Detect what you can: Detecting and representing objects using holistic models and body parts X Chen, R Mottaghi, X Liu, S Fidler, R Urtasun, A Yuille Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 710 | 2014 |
| Order-embeddings of images and language I Vendrov, R Kiros, S Fidler, R Urtasun arXiv preprint arXiv:1511.06361, 2015 | 620 | 2015 |
| Align your latents: High-resolution video synthesis with latent diffusion models A Blattmann, R Rombach, H Ling, T Dockhorn, SW Kim, S Fidler, K Kreis Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 613 | 2023 |
| Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation J Yao, S Fidler, R Urtasun 2012 IEEE conference on computer vision and pattern recognition, 702-709, 2012 | 565 | 2012 |
| 3d graph neural networks for rgbd semantic segmentation X Qi, R Liao, J Jia, S Fidler, R Urtasun Proceedings of the IEEE international conference on computer vision, 5199-5208, 2017 | 558 | 2017 |
| Predicting deep zero-shot convolutional neural networks using textual descriptions J Lei Ba, K Swersky, S Fidler Proceedings of the IEEE international conference on computer vision, 4247-4255, 2015 | 523 | 2015 |
Raquel UrtasunFounder & CEO Waabi, Professor, University of Toronto.在 cs.toronto.edu 的電子郵件地址已通過驗證
